stepwise multivariate analysis

USAGE SUMMARY

The phrase "stepwise multivariate analysis" is correct and usable in written English.
It can be used in the context of statistical analysis where multiple variables are analyzed in a sequential manner to determine their effects or relationships. Example: "The researchers employed stepwise multivariate analysis to identify the most significant predictors of patient outcomes."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

31 human-written examples

Hospital death among metformin patients: univariate analysis and conditional forward stepwise multivariate analysis with usual contraindication as analysis factor.

Annals of Intensive Care

Hospital death among ICU-admitted diabetic patients: univariate analysis and conditional forward stepwise multivariate analysis with metformin as analysis factor.

Annals of Intensive Care

After completion of the stepwise multivariate analysis, age less than 38 years and categorization as AP solely on the basis of chromosomal abnormalities emerged as being independently significantly associated with improved survival.

Duke University

With stepwise multivariate analysis, sequentially adding clinical, echocardiographic, and catheterization variables, the overall model identified independent predictors of survival as baseline functional status, baseline cardiac output, renal function, cachexia, female gender, left ventricular systolic function, and mitral regurgitation.

Duke University

In a conditional stepwise multivariate analysis, adjusting for FR, IOT, shock, age, sex and different "scores", only the SAPS II (OR 1.12, 95% CI 1.6-1.18; p < 0.0001) and IOT (OR 3.6, 95% CI 1.12-11.37; p = 0.031) were independent predictors of mortality.

Intensive Care Medicine Experimental

Parameters with p < 0.1 in the univariate analysis were entered into a stepwise multivariate analysis.

BMC Nephrology

Human-verified similar examples from authoritative sources

Similar Expressions

29 human-written examples

Pearson's univariate regression analysis and stepwise multivariate regression analysis by the forward selection method were performed to determine the association of the carotid IMT with the other clinical parameters.

Cardiovascular Diabetology

To identify independent associations, stepwise multivariate regression analysis was used, and variables including age, gender, and p < 0.05 in the univariate analysis were selected.

BMC Nephrology

Finally, before the backward stepwise multivariate regression analysis, work factors with a p-value ≤ 0.2 in the univariate Cox proportional hazard regression analysis were selected for further analysis.

BMC Public Health

However, stepwise multivariate regression analysis identified CPB inclusive of cardioplegic arrest as the only predictor of post-operative gastrointestinal complications (OR7.4; CI 3.4 17.9).

The Surgeon

Using the entire NSQIP sample, forward stepwise multivariate regression analysis was used to compare outcomes between patients receiving LR versus GA after adjustment for patient demographics and comorbid diagnoses.

Duke University

Expert writing Tips

Best practice

When reporting results from a "stepwise multivariate analysis", clearly state whether you used forward selection, backward elimination, or a combination of both. This transparency helps readers interpret your findings accurately.

Common error

Avoid assuming that variables selected by a "stepwise multivariate analysis" are necessarily the most causally important. Stepwise methods are data-driven and can be influenced by chance correlations within your dataset. Always consider the theoretical relevance and potential confounding factors.

Linguistic Context

The phrase "stepwise multivariate analysis" functions as a noun phrase that describes a specific type of statistical procedure. As shown by Ludwig, it identifies a method used for examining the relationships among multiple variables where the selection of variables is performed in a series of steps.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "stepwise multivariate analysis" is a grammatically correct and usable phrase in English, predominantly used within the scientific and academic domains to describe a specific statistical technique. Ludwig shows that this phrase identifies a method where variables are selected in steps to predict an outcome. It's crucial to understand the nuances of this method, especially concerning causality and potential biases. Alternatives like "sequential multivariate analysis" offer similar meanings. Always clearly state the variable selection method when reporting results to maintain transparency and avoid over-interpreting results.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

sequential multivariate analysis

This alternative emphasizes the ordered or sequential nature of the analysis, similar to "stepwise".

hierarchical multivariate analysis

This alternative suggests a structure where variables are entered into the model based on a hierarchy or pre-determined order.

iterative multivariate analysis

Focuses on the repetitive nature of the analysis as variables are added or removed.

variable selection in multivariate analysis

Highlights the process of selecting variables within a broader multivariate framework.

model building with multivariate analysis

Emphasizes the construction of a statistical model using multivariate techniques, where steps are involved.

multivariate analysis with variable entry and removal

This explicitly describes the process of adding and removing variables during the analysis.

forward selection multivariate analysis

Specifies the 'forward' direction of the stepwise process, where variables are added to the model.

backward elimination multivariate analysis

Specifies the 'backward' direction, where variables are removed from a full model.

multivariate regression with stepwise selection

Highlights the regression aspect of the analysis with focus on the stepwise variable selection.

data-driven multivariate analysis

Suggests that the variable selection process is guided by the data itself.

FAQs

What does "stepwise multivariate analysis" involve?

Stepwise multivariate analysis is a statistical method where variables are sequentially added or removed from a model to determine the best set of predictors for an outcome. It involves iterative steps of variable selection based on statistical criteria.

What are some alternatives to "stepwise multivariate analysis"?

You can use alternatives like "sequential multivariate analysis", "hierarchical multivariate analysis", or "iterative multivariate analysis" depending on the specific aspect you want to emphasize.

What is the difference between forward selection and backward elimination in "stepwise multivariate analysis"?

Forward selection starts with no variables and adds them one by one, while backward elimination starts with all variables and removes them one by one. Both are types of stepwise multivariate analysis, but they differ in their approach to variable selection.

How reliable is "stepwise multivariate analysis" for identifying causal relationships?

While useful for identifying potential predictors, "stepwise multivariate analysis" should not be used to infer causality. It's important to consider theoretical frameworks and potential confounding variables. Consider other methods to assert causality.